Title :
A new method for weighted fuzzy interpolative reasoningbased onpiecewise fuzzy entropies of fuzzy sets
Author :
Shyi-Ming Chen;Ze-Jin Chen
Author_Institution :
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
fDate :
7/1/2015 12:00:00 AM
Abstract :
This paper proposes a newweighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on piecewise fuzzy entropies of fuzzy sets. We also apply the proposed weighted fuzzy interpolative reasoning method to deal with the Mackey-Glass chaotic time series prediction problem. The experimental results show that the proposed method outperforms the existing methods for dealing with the Mackey-Glass chaotic time series prediction problem.
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
DOI :
10.1109/ICMLC.2015.7340949
